In the past decade, we have witnessed a dramatically increasing volume of data collected
from various sources. To maximize utilization, various machine and deep learning models …

According to a recent study, 30% of VMs in private cloud data centers are" comatose", in part
because there is generally no strong incentive for their human owners to delete them at an …

Elasticity is considered as a fundamental feature of cloud computing where the system
capacity can adjust to the current application workloads by provisioning or de-provisioning …

Large cloud architectures consist of numerous high-performance servers, each hosting a
multitude of Virtual Machines (VMs). Naturally, the server resources for processing and …

Due to unreasonable virtual machine (VM) resource planning and complex load variation,
the waste of VM resource has become a significant issue for many enterprises. Although …

Abstract Virtual machines (VMs) in IaaS public clouds often request more resources than will
actually be used, in particular the CPU resource expressed in the number of cores. To …

The explosion of data has transformed the world since much more information is available
for collection and analysis than ever before. To extract valuable information from the data in …

Studies show that virtual machines (VMs) in cloud are easily forgotten with non-productive
status. This incurs unnecessary cost for cloud tenants and resource waste for cloud …

In the past decade, we have witnessed a dramatically increasing volume of data collected
from varied sources. The explosion of data has transformed the world as more information is …

Virtual machine provides cloud computing services that offer computing resources to users
through the Internet based on virtualization technology. Generally, supercomputing or grid …